{"id":2667870,"url":"https://alion.io/job/nvidia-senior-ai-developer-technology-engineer-2","title":"Senior AI Developer Technology Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","Westford, United States","Austin, United States","Hillsboro, United States","Durham, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-16T19:06:27Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team is the bridge connecting the NVIDIA platform with developers worldwide. We dive deep into customer projects to accelerate performance, eliminate bottlenecks, and partner with a vibrant developer community to deliver the best performance on NVIDIA systems.\nIf you are passionate about accelerating the world's most advanced AI models and want your insights to directly influence the future of NVIDIA hardware and software stacks, we want you to be on our team.\nWhat you will be doing:\nDevelop cutting-edge techniques to GPU-accelerate complex workloads across state-of-the-art generative AI (including LLMs, diffusion models, and multimodal systems), deep learning, and machine learning domains. \nWork directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platform. Build and optimize algorithms to deliver the best performance, and contribute to training and inference frameworks, low-level software libraries, and open-source projects. \nPartner directly with top technical experts in industry and academia to perform in-depth analysis and optimization of complex AI algorithms on modern CPU and GPU architectures. \nShape the design of next-generation hardware, system software, libraries, and programming models through tight collaboration with NVIDIA’s internal engineering and research teams. \nShare your breakthrough optimization techniques by publishing in developer blogs and presenting at industry conferences. \nWhat we need to see:\nMS in Computer Science, Computer Engineering, or related computational field (or equivalent experience). \n8+ years of relevant work or research experience in software engineering and performance tuning. \nProgramming fluency in C/C++ with a deep understanding of algorithms and software development. \nA background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization. \nHands on experience doing low-level performance optimizations. \nFoundational understanding of modern CPU and GPU architectures. \nGood communication and organization skills, with a logical approach to problem solving, and prioritization skills. \nWays to stand out from the crowd:\nExpertise in the parallelization and performance optimization of Large Language Models (LLMs), Diffusion Models, and Multimodal Architectures for training and inference. \nExperience with training and inference stacks, serving frameworks, pre-training and post-training pipelines. \nStrong foundation in linear algebra and numerical methods. \nContinuous learning, proactively keeping up with cutting-edge technologies, and adapting to a rapidly evolving landscape. \nWhat's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 16, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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